Published June 24, 2025 | Version Version 1.1
Dataset Open

R scripts and complementary data for manuscript "Global invasion patterns and dynamics of disease vector mosquitoes"

  • 1. ROR icon Universidade Nova de Lisboa
  • 1. Universidade de Lisboa Centro de Estudos Geográficos: Lisboa, PT
  • 2. ROR icon Zoological Research Museum Alexander Koenig
  • 3. ROR icon Universidade Nova de Lisboa
  • 4. University of Vienna Faculty Center of Biodiversity: Vienna, Wien, AT
  • 5. ROR icon University of Vienna
  • 6. University of Lisbon

Description

This dataset contains records of first regional introductions and establishments of mosquito species known as vectors of human diseases. Each entry includes metadata such as species identity, year of first record, establishment status, mode of introduction, and data source. All records were compiled through a literature search and standardized using consistent taxonomic references wrom wrbu. The dataset also includes country-level socio-economic and environmental predictors used in generalized linear mixed models to assess the drivers of mosquito invasions, as well as the R code used to perform these analyses. 

A complete list of data sources is included within the dataset file (Mosquito_article_1_dataset.csv). Further details on data compilation, continental delineations, and analytical methods are provided in the associated publication:

Pabst, R., Sousa, C.A., Essl, F., García-Rodríguez, A., Liu, D., Lenzner, B., Schertler, A., Zêzere, J.L., Capinha, C. (2025). Global invasion patterns and dynamics of disease vector mosquitoes. Nature Communications.

Please cite this publication when using the dataset.

Files

Data_and_code_used_for_analysis.zip

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Additional details

Funding

Fundação para a Ciência e Tecnologia
GHTM UIDB/04413/2020 & UIDP/04413/2020
Fundação para a Ciência e Tecnologia
LA-REAL LA/P/0117/2020
Fundação para a Ciência e Tecnologia
PRT/BD/153694/2021
Fundação para a Ciência e Tecnologia
InvaSTOP 2023.12533.PEX
Fundação para a Ciência e Tecnologia
CEG/IGOT UIDB/00295/2020 and UIDP/00295/2020
FWF Austrian Science Fund
I-5825-B
FWF Austrian Science Fund
P 34688-B

Software

Programming language
R